Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 19845 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 1 |
| Duplicate rows (%) | < 0.1% |
| Total size in memory | 2.5 MiB |
| Average record size in memory | 132.0 B |
Variable types
| NUM | 7 |
|---|---|
| CAT | 7 |
| DATE | 2 |
| Dataset has 1 (< 0.1%) duplicate rows | Duplicates |
Id.Escala has a high cardinality: 17547 distinct values | High cardinality |
Buque has a high cardinality: 1703 distinct values | High cardinality |
buque_def is highly correlated with Tipo Buque | High correlation |
Tipo Buque is highly correlated with buque_def | High correlation |
Muelle Atraque Real is highly correlated with terminal | High correlation |
terminal is highly correlated with Muelle Atraque Real | High correlation |
Id.Escala is uniformly distributed | Uniform |
Reproduction
| Analysis started | 2020-10-22 08:47:57.199277 |
|---|---|
| Analysis finished | 2020-10-22 08:48:16.346787 |
| Duration | 19.15 seconds |
| Software version | pandas-profiling v2.9.0 |
| Download configuration | config.yaml |
Año Servicio
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| 2017 | |
|---|---|
| 2018 | |
| 2019 |
| Value | Count | Frequency (%) | |
| 2017 | 6818 | 34.4% | |
| 2018 | 6626 | 33.4% | |
| 2019 | 6401 | 32.3% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
| Distinct | 17547 |
|---|---|
| Distinct (%) | 88.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| 1 2018 2676 | 4 |
|---|---|
| 1 2019 130 | 3 |
| 1 2019 134 | 3 |
| 1 2017 6741 | 3 |
| 1 2018 5574 | 3 |
| Other values (17542) |
| Value | Count | Frequency (%) | |
| 1 2018 2676 | 4 | < 0.1% | |
| 1 2019 130 | 3 | < 0.1% | |
| 1 2019 134 | 3 | < 0.1% | |
| 1 2017 6741 | 3 | < 0.1% | |
| 1 2018 5574 | 3 | < 0.1% | |
| 1 2018 1902 | 3 | < 0.1% | |
| 1 2017 2424 | 3 | < 0.1% | |
| 1 2018 935 | 3 | < 0.1% | |
| 1 2017 3904 | 3 | < 0.1% | |
| 1 2018 1666 | 3 | < 0.1% | |
| Other values (17537) | 19814 | 99.8% |
Frequencies of value counts
Unique
| Unique | 15278 ? |
|---|---|
| Unique (%) | 77.0% |
Histogram of lengths of the category
Length
| Max length | 21 |
|---|---|
| Median length | 21 |
| Mean length | 21 |
| Min length | 21 |
Clave Lloyd o Num. OMI
Real number (ℝ≥0)
| Distinct | 1644 |
|---|---|
| Distinct (%) | 8.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9290157.713 |
|---|---|
| Minimum | 5142657 |
| Maximum | 9842097 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 77.5 KiB |
Quantile statistics
| Minimum | 5142657 |
|---|---|
| 5-th percentile | 9004231 |
| Q1 | 9214202 |
| median | 9323637 |
| Q3 | 9458523 |
| 95-th percentile | 9673630 |
| Maximum | 9842097 |
| Range | 4699440 |
| Interquartile range (IQR) | 244321 |
Descriptive statistics
| Standard deviation | 324143.2868 |
|---|---|
| Coefficient of variation (CV) | 0.03489104241 |
| Kurtosis | 17.36700963 |
| Mean | 9290157.713 |
| Median Absolute Deviation (MAD) | 128082 |
| Skewness | -3.381161977 |
| Sum | -320413906 |
| Variance | 1.050688704e+11 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 9498743 | 828 | 4.2% | |
| 9458523 | 807 | 4.1% | |
| 9263370 | 756 | 3.8% | |
| 7827225 | 405 | 2.0% | |
| 9134139 | 400 | 2.0% | |
| 9204362 | 378 | 1.9% | |
| 9243423 | 363 | 1.8% | |
| 9441130 | 267 | 1.3% | |
| 9143790 | 251 | 1.3% | |
| 9465538 | 214 | 1.1% | |
| Other values (1634) | 15176 | 76.5% |
| Value | Count | Frequency (%) | |
| 5142657 | 3 | < 0.1% | |
| 5383304 | 1 | < 0.1% | |
| 6602898 | 1 | < 0.1% | |
| 7225910 | 3 | < 0.1% | |
| 7356252 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 9842097 | 1 | < 0.1% | |
| 9842085 | 1 | < 0.1% | |
| 9842061 | 2 | < 0.1% | |
| 9830599 | 1 | < 0.1% | |
| 9829722 | 1 | < 0.1% |
| Distinct | 1703 |
|---|---|
| Distinct (%) | 8.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| FORZA | 807 |
|---|---|
| CIUDAD DE IBIZA | 756 |
| VISEMAR ONE | 532 |
| REGINA BALTICA | 405 |
| SVEN | 400 |
| Other values (1698) |
| Value | Count | Frequency (%) | |
| FORZA | 807 | 4.1% | |
| CIUDAD DE IBIZA | 756 | 3.8% | |
| VISEMAR ONE | 532 | 2.7% | |
| REGINA BALTICA | 405 | 2.0% | |
| SVEN | 400 | 2.0% | |
| SUPER FAST LEVANTE | 378 | 1.9% | |
| NAPOLES | 363 | 1.8% | |
| HEDY LAMARR | 296 | 1.5% | |
| ABEL MATUTES | 267 | 1.3% | |
| YAKOOT | 251 | 1.3% | |
| Other values (1693) | 15390 | 77.6% |
Frequencies of value counts
Unique
| Unique | 622 ? |
|---|---|
| Unique (%) | 3.1% |
Histogram of lengths of the category
Length
| Max length | 20 |
|---|---|
| Median length | 20 |
| Mean length | 20 |
| Min length | 20 |
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| PORTACONTENEDOR | |
|---|---|
| FERRYS RO/RO PASAJEROS | |
| RO/RO VEHÍCULO | |
| POLIV. GENERAL CONTENEDOR | 727 |
| RO/RO CARGA GENERAL | 665 |
| Other values (20) |
| Value | Count | Frequency (%) | |
| PORTACONTENEDOR | 10908 | 55.0% | |
| FERRYS RO/RO PASAJEROS | 4340 | 21.9% | |
| RO/RO VEHÍCULO | 1449 | 7.3% | |
| POLIV. GENERAL CONTENEDOR | 727 | 3.7% | |
| RO/RO CARGA GENERAL | 665 | 3.4% | |
| CRUCERO TURÍSTICO | 598 | 3.0% | |
| RO/RO LO/LO | 413 | 2.1% | |
| OTROS GRANELEROS | 167 | 0.8% | |
| PRODUCTOS QUÍMICOS | 160 | 0.8% | |
| MERCANT. CONVENCIONAL | 130 | 0.7% | |
| Other values (15) | 288 | 1.5% |
Frequencies of value counts
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Histogram of lengths of the category
Length
| Max length | 25 |
|---|---|
| Median length | 25 |
| Mean length | 25 |
| Min length | 25 |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| contenedor | |
|---|---|
| ropax | |
| roro | |
| crucero | 598 |
| otros | 482 |
| Value | Count | Frequency (%) | |
| contenedor | 11780 | 59.4% | |
| ropax | 4375 | 22.0% | |
| roro | 2610 | 13.2% | |
| crucero | 598 | 3.0% | |
| otros | 482 | 2.4% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 7.896749811 |
| Min length | 4 |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| csp | |
|---|---|
| apm | |
| balea_otros | |
| msc | |
| vte | |
| Other values (2) |
| Value | Count | Frequency (%) | |
| csp | 6179 | 31.1% | |
| apm | 3670 | 18.5% | |
| balea_otros | 3030 | 15.3% | |
| msc | 2483 | 12.5% | |
| vte | 2340 | 11.8% | |
| trasme_cru | 1935 | 9.8% | |
| ampli_norte | 208 | 1.0% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 11 |
|---|---|
| Median length | 3 |
| Mean length | 4.987855883 |
| Min length | 3 |
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| PRINCIPE FELIPE | |
|---|---|
| TRANSVERSAL COSTA | |
| DIQUE DEL ESTE | |
| ESP.TUR.SUR-1 | |
| LEVANTE 1 | |
| Other values (20) |
| Value | Count | Frequency (%) | |
| PRINCIPE FELIPE | 5257 | 26.5% | |
| TRANSVERSAL COSTA | 2483 | 12.5% | |
| DIQUE DEL ESTE | 1488 | 7.5% | |
| ESP.TUR.SUR-1 | 1340 | 6.8% | |
| LEVANTE 1 | 1235 | 6.2% | |
| TRANSVERSALES | 1054 | 5.3% | |
| TURIA | 1019 | 5.1% | |
| LEVANTE 4 | 855 | 4.3% | |
| PONIENTE-1 | 783 | 3.9% | |
| LLOVERA | 681 | 3.4% | |
| Other values (15) | 3650 | 18.4% |
Frequencies of value counts
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Histogram of lengths of the category
Length
| Max length | 25 |
|---|---|
| Median length | 25 |
| Mean length | 25 |
| Min length | 25 |
Num. Atraque
Real number (ℝ≥0)
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.226404636 |
|---|---|
| Minimum | 1 |
| Maximum | 8 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 155.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 2 |
| Maximum | 8 |
| Range | 7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.5408044566 |
|---|---|
| Coefficient of variation (CV) | 0.4409673943 |
| Kurtosis | 11.44298686 |
| Mean | 1.226404636 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.950783778 |
| Sum | 24338 |
| Variance | 0.2924694603 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) | |
| 1 | 16261 | 81.9% | |
| 2 | 2875 | 14.5% | |
| 3 | 552 | 2.8% | |
| 4 | 123 | 0.6% | |
| 5 | 27 | 0.1% | |
| 6 | 6 | < 0.1% | |
| 8 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 1 | 16261 | 81.9% | |
| 2 | 2875 | 14.5% | |
| 3 | 552 | 2.8% | |
| 4 | 123 | 0.6% | |
| 5 | 27 | 0.1% |
| Value | Count | Frequency (%) | |
| 8 | 1 | < 0.1% | |
| 6 | 6 | < 0.1% | |
| 5 | 27 | 0.1% | |
| 4 | 123 | 0.6% | |
| 3 | 552 | 2.8% |
FH. Amarre Calc
Date
| Distinct | 19126 |
|---|---|
| Distinct (%) | 96.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| Minimum | 2017-01-01 14:30:00 |
|---|---|
| Maximum | 2019-12-13 00:30:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 19324 |
|---|---|
| Distinct (%) | 97.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 155.0 KiB |
| Minimum | 2017-01-02 14:00:00 |
|---|---|
| Maximum | 2019-12-13 10:05:00 |
Histogram with fixed size bins (bins=50)
Amarre calculado (horas)
Real number (ℝ≥0)
| Distinct | 1532 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 17.56083312 |
|---|---|
| Minimum | 0.1666666667 |
| Maximum | 438.3333333 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 155.0 KiB |
Quantile statistics
| Minimum | 0.1666666667 |
|---|---|
| 5-th percentile | 2.5 |
| Q1 | 8.083333333 |
| median | 14.5 |
| Q3 | 22.41666667 |
| 95-th percentile | 39.58333333 |
| Maximum | 438.3333333 |
| Range | 438.1666667 |
| Interquartile range (IQR) | 14.33333333 |
Descriptive statistics
| Standard deviation | 18.57789478 |
|---|---|
| Coefficient of variation (CV) | 1.057916481 |
| Kurtosis | 78.68603863 |
| Mean | 17.56083312 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 6.683930839 |
| Sum | 348494.7333 |
| Variance | 345.1381744 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 3.5 | 268 | 1.4% | |
| 3.583333333 | 245 | 1.2% | |
| 3.333333333 | 206 | 1.0% | |
| 3.416666667 | 189 | 1.0% | |
| 3.75 | 132 | 0.7% | |
| 3.416666667 | 127 | 0.6% | |
| 3.166666667 | 116 | 0.6% | |
| 3.666666667 | 111 | 0.6% | |
| 15 | 85 | 0.4% | |
| 2.083333333 | 80 | 0.4% | |
| Other values (1522) | 18286 | 92.1% |
| Value | Count | Frequency (%) | |
| 0.1666666667 | 1 | < 0.1% | |
| 0.2500000001 | 1 | < 0.1% | |
| 0.4166666666 | 1 | < 0.1% | |
| 0.4166666668 | 1 | < 0.1% | |
| 0.4999999999 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 438.3333333 | 1 | < 0.1% | |
| 366.1666667 | 1 | < 0.1% | |
| 334.3333333 | 1 | < 0.1% | |
| 322.25 | 1 | < 0.1% | |
| 314.0833333 | 1 | < 0.1% |
Potencia
Real number (ℝ≥0)
| Distinct | 652 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26387.19048 |
|---|---|
| Minimum | 1 |
| Maximum | 88200 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 155.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 5300 |
| Q1 | 11060 |
| median | 21600 |
| Q3 | 36560 |
| 95-th percentile | 68520 |
| Maximum | 88200 |
| Range | 88199 |
| Interquartile range (IQR) | 25500 |
Descriptive statistics
| Standard deviation | 18798.00976 |
|---|---|
| Coefficient of variation (CV) | 0.7123914832 |
| Kurtosis | 0.007637946613 |
| Mean | 26387.19048 |
| Median Absolute Deviation (MAD) | 11611 |
| Skewness | 0.9958624521 |
| Sum | 523653795 |
| Variance | 353365170.9 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 25200 | 1620 | 8.2% | |
| 9730 | 1166 | 5.9% | |
| 21600 | 848 | 4.3% | |
| 20070 | 837 | 4.2% | |
| 5300 | 589 | 3.0% | |
| 18900 | 455 | 2.3% | |
| 47430 | 417 | 2.1% | |
| 19124 | 405 | 2.0% | |
| 25204 | 378 | 1.9% | |
| 72240 | 360 | 1.8% | |
| Other values (642) | 12770 | 64.3% |
| Value | Count | Frequency (%) | |
| 1 | 3 | < 0.1% | |
| 600 | 1 | < 0.1% | |
| 816 | 2 | < 0.1% | |
| 850 | 1 | < 0.1% | |
| 914 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 88200 | 1 | < 0.1% | |
| 80905 | 1 | < 0.1% | |
| 80080 | 3 | < 0.1% | |
| 75624 | 3 | < 0.1% | |
| 75600 | 23 | 0.1% |
Det. G.T. Buque
Real number (ℝ≥0)
| Distinct | 974 |
|---|---|
| Distinct (%) | 4.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38622.5618 |
|---|---|
| Minimum | 682 |
| Maximum | 228081 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 155.0 KiB |
Quantile statistics
| Minimum | 682 |
|---|---|
| 5-th percentile | 6362 |
| Q1 | 16686 |
| median | 26375 |
| Q3 | 51714 |
| 95-th percentile | 107849 |
| Maximum | 228081 |
| Range | 227399 |
| Interquartile range (IQR) | 35028 |
Descriptive statistics
| Standard deviation | 34654.76469 |
|---|---|
| Coefficient of variation (CV) | 0.897267376 |
| Kurtosis | 2.599216663 |
| Mean | 38622.5618 |
| Median Absolute Deviation (MAD) | 15829 |
| Skewness | 1.65303246 |
| Sum | 766464739 |
| Variance | 1200952715 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 26375 | 828 | 4.2% | |
| 25518 | 807 | 4.1% | |
| 16686 | 756 | 3.8% | |
| 9957 | 715 | 3.6% | |
| 6362 | 589 | 3.0% | |
| 24409 | 455 | 2.3% | |
| 18345 | 405 | 2.0% | |
| 32647 | 404 | 2.0% | |
| 17505 | 378 | 1.9% | |
| 32645 | 332 | 1.7% | |
| Other values (964) | 14176 | 71.4% |
| Value | Count | Frequency (%) | |
| 682 | 2 | < 0.1% | |
| 693 | 8 | < 0.1% | |
| 723 | 1 | < 0.1% | |
| 998 | 1 | < 0.1% | |
| 1189 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 228081 | 1 | < 0.1% | |
| 194849 | 4 | < 0.1% | |
| 194308 | 7 | < 0.1% | |
| 194250 | 7 | < 0.1% | |
| 193489 | 4 | < 0.1% |
Potencia_kW
Real number (ℝ≥0)
| Distinct | 663 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1085.052452 |
|---|---|
| Minimum | 0.13 |
| Maximum | 15317.03 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 155.0 KiB |
Quantile statistics
| Minimum | 0.13 |
|---|---|
| 5-th percentile | 313.3967749 |
| Q1 | 534.3892842 |
| median | 750 |
| Q3 | 1187.463743 |
| 95-th percentile | 1924.102411 |
| Maximum | 15317.03 |
| Range | 15316.9 |
| Interquartile range (IQR) | 653.0744585 |
Descriptive statistics
| Standard deviation | 1408.84444 |
|---|---|
| Coefficient of variation (CV) | 1.298411369 |
| Kurtosis | 40.39590071 |
| Mean | 1085.052452 |
| Median Absolute Deviation (MAD) | 436.6032251 |
| Skewness | 5.837692867 |
| Sum | 21532865.91 |
| Variance | 1984842.655 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 313.3967749 | 4058 | 20.4% | |
| 800 | 2246 | 11.3% | |
| 750 | 1518 | 7.6% | |
| 1650.294773 | 1365 | 6.9% | |
| 768.0773751 | 1332 | 6.7% | |
| 1844.256541 | 1263 | 6.4% | |
| 534.3892842 | 1187 | 6.0% | |
| 1187.463743 | 1086 | 5.5% | |
| 700 | 1079 | 5.4% | |
| 1679.538758 | 1041 | 5.2% | |
| Other values (653) | 3670 | 18.5% |
| Value | Count | Frequency (%) | |
| 0.13 | 3 | < 0.1% | |
| 132.6 | 2 | < 0.1% | |
| 145.53 | 1 | < 0.1% | |
| 156 | 1 | < 0.1% | |
| 163.8 | 1 | < 0.1% |
| Value | Count | Frequency (%) | |
| 15317.03 | 15 | 0.1% | |
| 13760 | 1 | < 0.1% | |
| 13622.4 | 5 | < 0.1% | |
| 13409.55 | 15 | 0.1% | |
| 13318.2 | 1 | < 0.1% |
Manoeuvring
Real number (ℝ≥0)
| Distinct | 710 |
|---|---|
| Distinct (%) | 3.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7955.391578 |
|---|---|
| Minimum | 0.35 |
| Maximum | 26294.125 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 155.0 KiB |
Quantile statistics
| Minimum | 0.35 |
|---|---|
| 5-th percentile | 1722.5 |
| Q1 | 3534.08 |
| median | 5644.8 |
| Q3 | 11882 |
| 95-th percentile | 22268.675 |
| Maximum | 26294.125 |
| Range | 26293.775 |
| Interquartile range (IQR) | 8347.92 |
Descriptive statistics
| Standard deviation | 6132.608143 |
|---|---|
| Coefficient of variation (CV) | 0.7708744546 |
| Kurtosis | 0.08888164541 |
| Mean | 7955.391578 |
| Median Absolute Deviation (MAD) | 2482.55 |
| Skewness | 1.120130843 |
| Sum | 157874745.9 |
| Variance | 37608882.64 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 5644.8 | 1620 | 8.2% | |
| 3162.25 | 1166 | 5.9% | |
| 4838.4 | 848 | 4.3% | |
| 6422.4 | 837 | 4.2% | |
| 1722.5 | 589 | 3.0% | |
| 4233.6 | 455 | 2.3% | |
| 15414.75 | 417 | 2.1% | |
| 4283.776 | 405 | 2.0% | |
| 8065.28 | 378 | 1.9% | |
| 23478 | 360 | 1.8% | |
| Other values (700) | 12770 | 64.3% |
| Value | Count | Frequency (%) | |
| 0.35 | 3 | < 0.1% | |
| 195 | 1 | < 0.1% | |
| 227.136 | 1 | < 0.1% | |
| 237.44 | 8 | < 0.1% | |
| 265.2 | 2 | < 0.1% |
| Value | Count | Frequency (%) | |
| 26294.125 | 1 | < 0.1% | |
| 26026 | 3 | < 0.1% | |
| 24297 | 20 | 0.1% | |
| 23478 | 360 | 1.8% | |
| 23477.675 | 12 | 0.1% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| Año Servicio | Id.Escala | Clave Lloyd o Num. OMI | Buque | Tipo Buque | buque_def | terminal | Muelle Atraque Real | Num. Atraque | FH. Amarre Calc | FH. Desamarre Calc | Amarre calculado (horas) | Potencia | Det. G.T. Buque | Potencia_kW | Manoeuvring | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2017 | 1 2016 6487 | 9356309 | CMA CGM HYDRA | PORTACONTENEDOR | contenedor | apm | LLOVERA | 1 | 2017-01-01 22:30:00 | 2017-01-03 13:30:00 | 39.000000 | 72240.0 | 128600.0 | 1924.1 | 23478 |
| 1 | 2017 | 1 2016 6632 | 9509138 | FLEUR N | PORTACONTENEDOR | contenedor | apm | LEVANTE 1 | 1 | 2017-01-02 00:35:00 | 2017-01-03 20:00:00 | 43.416667 | 25040.0 | 35887.0 | 768.077 | 8138 |
| 2 | 2017 | 1 2016 6635 | 9449118 | MARTHA SCHULTE | PORTACONTENEDOR | contenedor | apm | LEVANTE 3 | 1 | 2017-01-01 17:50:00 | 2017-01-02 23:10:00 | 29.333333 | 31990.0 | 38364.0 | 1187.46 | 10396.8 |
| 3 | 2017 | 1 2016 6674 | 9230490 | MSC LORETTA | PORTACONTENEDOR | contenedor | csp | PRINCIPE FELIPE | 1 | 2017-01-02 06:10:00 | 2017-01-03 10:35:00 | 28.416667 | 57075.0 | 73819.0 | 1844.26 | 18549.4 |
| 4 | 2017 | 1 2016 6681 | 9007817 | MSC NAMIBIA II | PORTACONTENEDOR | contenedor | csp | PRINCIPE FELIPE | 1 | 2017-01-04 14:30:00 | 2017-01-05 16:20:00 | 25.833333 | 13120.0 | 23953.0 | 534.389 | 4264 |
| 5 | 2017 | 1 2016 6692 | 9354466 | HELMUT | POLIV. GENERAL CONTENEDOR | contenedor | csp | PRINCIPE FELIPE | 2 | 2017-01-01 16:30:00 | 2017-01-03 01:25:00 | 32.916667 | 8399.0 | 9981.0 | 313.397 | 2729.68 |
| 6 | 2017 | 1 2016 6693 | 9326964 | PASSAT | PORTACONTENEDOR | contenedor | apm | LEVANTE 3 | 2 | 2017-01-11 11:50:00 | 2017-01-12 00:35:00 | 12.750000 | 8399.0 | 9990.0 | 313.397 | 2729.68 |
| 7 | 2017 | 1 2016 6693 | 9326964 | PASSAT | PORTACONTENEDOR | contenedor | csp | PRINCIPE FELIPE | 3 | 2017-01-10 20:25:00 | 2017-01-11 10:55:00 | 14.500000 | 8399.0 | 9990.0 | 313.397 | 2729.68 |
| 8 | 2017 | 1 2016 6699 | 9290567 | MSC BRUXELLES | PORTACONTENEDOR | contenedor | csp | PRINCIPE FELIPE | 1 | 2017-01-01 21:00:00 | 2017-01-03 14:10:00 | 41.166667 | 68520.0 | 107849.0 | 1679.54 | 22269 |
| 9 | 2017 | 1 2016 6704 | 9321471 | YANKI A | PORTACONTENEDOR | contenedor | apm | LEVANTE 3 | 1 | 2017-01-04 06:00:00 | 2017-01-05 01:25:00 | 19.416667 | 21770.0 | 27915.0 | 768.077 | 7075.25 |
Last rows
| Año Servicio | Id.Escala | Clave Lloyd o Num. OMI | Buque | Tipo Buque | buque_def | terminal | Muelle Atraque Real | Num. Atraque | FH. Amarre Calc | FH. Desamarre Calc | Amarre calculado (horas) | Potencia | Det. G.T. Buque | Potencia_kW | Manoeuvring | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 19835 | 2019 | 1 2019 6399 | 9673666 | VIOLETA B | PORTACONTENEDOR | contenedor | csp | M. ESTE (PRINCIPE FELIPE) | 1 | 2019-12-11 02:25:00 | 2019-12-11 17:05:00 | 14.666667 | 12200.0 | 18826.0 | 534.389 | 3965 |
| 19836 | 2019 | 1 2019 6412 | 9498743 | HEDY LAMARR | FERRYS RO/RO PASAJEROS | ropax | balea_otros | TURIA | 1 | 2019-12-07 19:10:00 | 2019-12-08 22:05:00 | 26.916667 | 21600.0 | 26375.0 | 629.721 | 4838.4 |
| 19837 | 2019 | 1 2019 6413 | 9498743 | HEDY LAMARR | FERRYS RO/RO PASAJEROS | ropax | balea_otros | TURIA | 1 | 2019-12-09 19:05:00 | 2019-12-09 22:10:00 | 3.083333 | 21600.0 | 26375.0 | 800 | 4838.4 |
| 19838 | 2019 | 1 2019 6414 | 9435844 | LEON | BUQUE TANQUE/MG | otros | balea_otros | ESP.TUR.SUR-2 | 1 | 2019-12-06 00:05:00 | 2019-12-10 01:10:00 | 97.083333 | 3399.0 | 2997.0 | 1291.62 | 1189.65 |
| 19839 | 2019 | 1 2019 6416 | 9498743 | HEDY LAMARR | FERRYS RO/RO PASAJEROS | ropax | balea_otros | TURIA | 1 | 2019-12-10 19:05:00 | 2019-12-10 22:10:00 | 3.083333 | 21600.0 | 26375.0 | 800 | 4838.4 |
| 19840 | 2019 | 1 2019 6424 | 9237644 | CIUDAD DE CEUTA | FERRYS RO/RO PASAJEROS | ropax | trasme_cru | TRANSVERSALES | 1 | 2019-12-05 23:35:00 | 2019-12-06 00:10:00 | 0.583333 | 28320.0 | 6554.0 | 750 | 6343.68 |
| 19841 | 2019 | 1 2019 6430 | 9232656 | CHARLIE | PORTACONTENEDOR | contenedor | csp | M. ESTE (PRINCIPE FELIPE) | 1 | 2019-12-07 20:00:00 | 2019-12-08 20:05:00 | 24.083333 | 13328.0 | 16661.0 | 534.389 | 4331.6 |
| 19842 | 2019 | 1 2019 6432 | 9326990 | ANALENA | PORTACONTENEDOR | contenedor | csp | PRINCIPE FELIPE | 1 | 2019-12-09 09:10:00 | 2019-12-11 03:05:00 | 41.916667 | 8399.0 | 9990.0 | 313.397 | 2729.68 |
| 19843 | 2019 | 1 2019 6462 | 9137997 | ROSALIND FRANKLIN | FERRYS RO/RO PASAJEROS | ropax | balea_otros | TURIA | 1 | 2019-12-11 19:40:00 | 2019-12-11 22:25:00 | 2.750000 | 23040.0 | 33958.0 | 800 | 5160.96 |
| 19844 | 2019 | 1 2019 6484 | 9498743 | HEDY LAMARR | FERRYS RO/RO PASAJEROS | ropax | balea_otros | TURIA | 1 | 2019-12-12 19:10:00 | 2019-12-12 22:25:00 | 3.250000 | 21600.0 | 26375.0 | 800 | 4838.4 |
Most frequent
| Año Servicio | Id.Escala | Clave Lloyd o Num. OMI | Buque | Tipo Buque | buque_def | terminal | Muelle Atraque Real | Num. Atraque | FH. Amarre Calc | FH. Desamarre Calc | Amarre calculado (horas) | Potencia | Det. G.T. Buque | Potencia_kW | Manoeuvring | count | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2017 | 1 2017 3343 | 9498743 | VISEMAR ONE | FERRYS RO/RO PASAJEROS | ropax | balea_otros | TURIA | 1 | 2017-06-23 18:45:00 | 2017-06-23 22:30:00 | 3.75 | 21600.0 | 26375.0 | 800.0 | 4838.4 | 2 |